Spatial and Temporal Distributions Pattern of Dengue Fever Cases: A Ten Years Trends in Kuantan, Pahang

Zulkifli Abdul Hadi; Nazri Che Dom; Siti Aekbal Salleh; Nurul Ain Mohd Zaki; Hasber Salim; Nopadol Precha

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Spatial and Temporal Distributions Pattern of Dengue Fever Cases: A Ten Years Trends in Kuantan, Pahang

Author: Zulkifli Abdul Hadi ¹ ; Nazri Che Dom ^{1
,

2} ; Siti Aekbal Salleh ² ; Nurul Ain Mohd Zaki ² ; Hasber Salim ³ ; Nopadol Precha ⁴
Author Information

1. Centre of Environmental Health and Safety, Faculty of Health Sciences, Universiti Teknologi MARA Selangor, Malaysia&
2. Institute for Biodiversity and Sustainable Development (IBSD), Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia
3. School of Biological Sciences, Universiti Sains Malaysia, Penang, Malaysia
4. Department of Environmental Health and Technology, School of Public Health, Walailak University, Nakhon Si Thammarat, Thailand
Publication Type:Journal Article
Keywords: Dengue, Spatial analysis, Moran’s I, LISA, GIS, Temporal
From:Malaysian Journal of Medicine and Health Sciences 2022;18(No.3):118-124
CountryMalaysia
Language:English
Abstract: Introduction: Dengue fever (DF) is a prominent vector-borne disease spread by mosquitos of the Aedes genus (mainly Aedes aegypti, and even Aedes albopictus), a tropical regions vector. The purpose of this research was to establish the spatial and temporal distribution patterns of DF cases in the study area between 2010 and 2020. Methods: The correlation between the Kuantan sub-district and dengue haemorrhagic fever (DHF) incidence is examined in this study using spatial analysis. The correlation was calculated using spatial autocorrelation, Moran’s Index (Moran’s I) and Spatial Autocorrelation of Local Indicators (LISA). Moran’s index is a worldwide indicator used to determine whether or not disease transmission has geographical autocorrelation in disease transmission. Results: The results indicated that between 2011 and 2020, the monthly Moran’s I of dengue transmission in Kuantan was estimated to range between -0.685 and 0.338. The lowest reading of Moran’s index was -0.685 in May 2015, whereas the highest reading was 0.338 in May 2019. This reflects the strong spatial autocorrelation of dengue transmission in Kuantan over the last decade. The LISA analysis revealed significant spatial autocorrelations on DF cases in Kuantan for three (3) out of six (6) sub-districts (50%) with a significance level of 2%. This suggests that there are spatial autocorrelations in Kuala Kuantan, Beserah and Penor sub-district that influence the distribution of DHF transmission. Conclusion: The results reveal that the spatial autocorrelation analysis method can be a tool for relevant researchers to understand the pattern of DF transmission study and establish the direction for further study.
Full text:11.2022my1276.pdf